Average Error: 29.0 → 0.1
Time: 11.3s
Precision: 64
\[\log \left(N + 1\right) - \log N\]
\[\begin{array}{l} \mathbf{if}\;N \le 7726.51655081009:\\ \;\;\;\;\log \left(\frac{1 + N}{N}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{1}{3}}{N \cdot N}, \frac{1}{N}, \frac{1}{N} - \frac{\frac{1}{2}}{N \cdot N}\right)\\ \end{array}\]
\log \left(N + 1\right) - \log N
\begin{array}{l}
\mathbf{if}\;N \le 7726.51655081009:\\
\;\;\;\;\log \left(\frac{1 + N}{N}\right)\\

\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{1}{3}}{N \cdot N}, \frac{1}{N}, \frac{1}{N} - \frac{\frac{1}{2}}{N \cdot N}\right)\\

\end{array}
double f(double N) {
        double r1059828 = N;
        double r1059829 = 1.0;
        double r1059830 = r1059828 + r1059829;
        double r1059831 = log(r1059830);
        double r1059832 = log(r1059828);
        double r1059833 = r1059831 - r1059832;
        return r1059833;
}

double f(double N) {
        double r1059834 = N;
        double r1059835 = 7726.51655081009;
        bool r1059836 = r1059834 <= r1059835;
        double r1059837 = 1.0;
        double r1059838 = r1059837 + r1059834;
        double r1059839 = r1059838 / r1059834;
        double r1059840 = log(r1059839);
        double r1059841 = 0.3333333333333333;
        double r1059842 = r1059834 * r1059834;
        double r1059843 = r1059841 / r1059842;
        double r1059844 = r1059837 / r1059834;
        double r1059845 = 0.5;
        double r1059846 = r1059845 / r1059842;
        double r1059847 = r1059844 - r1059846;
        double r1059848 = fma(r1059843, r1059844, r1059847);
        double r1059849 = r1059836 ? r1059840 : r1059848;
        return r1059849;
}

Error

Bits error versus N

Derivation

  1. Split input into 2 regimes
  2. if N < 7726.51655081009

    1. Initial program 0.1

      \[\log \left(N + 1\right) - \log N\]
    2. Using strategy rm
    3. Applied diff-log0.1

      \[\leadsto \color{blue}{\log \left(\frac{N + 1}{N}\right)}\]

    if 7726.51655081009 < N

    1. Initial program 59.5

      \[\log \left(N + 1\right) - \log N\]
    2. Taylor expanded around inf 0.0

      \[\leadsto \color{blue}{\left(\frac{1}{3} \cdot \frac{1}{{N}^{3}} + \frac{1}{N}\right) - \frac{1}{2} \cdot \frac{1}{{N}^{2}}}\]
    3. Simplified0.0

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{\frac{1}{3}}{N \cdot N}, \frac{1}{N}, \frac{1}{N} - \frac{\frac{1}{2}}{N \cdot N}\right)}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.1

    \[\leadsto \begin{array}{l} \mathbf{if}\;N \le 7726.51655081009:\\ \;\;\;\;\log \left(\frac{1 + N}{N}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(\frac{\frac{1}{3}}{N \cdot N}, \frac{1}{N}, \frac{1}{N} - \frac{\frac{1}{2}}{N \cdot N}\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2019153 +o rules:numerics
(FPCore (N)
  :name "2log (problem 3.3.6)"
  (- (log (+ N 1)) (log N)))